-convex Optimization Problem With and Without Constraints -first Order Optimization Methods -first Order Stochastic Optimization Methods and The Sgd Algorithm -momentum Methods and Nesterov S Accelerated Methods -the Frank-wolfe Method -duality -kkt Conditions -newton S Method. Learning Outcomes# After The Successful Completion of The Course# 1. The Students Will Be Familiar With Definitions and Properties Of Optimization Problems, and Will Know to Read and Write Such Problems By Themselves._ 2. The Students Will Be Familiar With Popular Optimization Methods, Their Advantages and Their Disadvantages.

Faculty: Electrical and Computer Engineering
|Undergraduate Studies |Graduate Studies
Pre-required courses

(104013 - Differential and Integral Calculus 2t and 104016 - Algebra 1/extended) or 104034 - Introduction to Probability H

Course with no extra credit

104193 - Optimization Theory 236330 - Introduction to Optimization

Semestrial Information

Weekly Hours

3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours

Responsible(s)

Yehuda Levy

Notes
  • מתרגל ובודק תרגילים: רון דורפמן

Exams
Session A: 09-09-2024 Session B: 08-10-2024
Registration Groups
11
Lecture Monday 09:30 - 11:30 פישבך 505 | Yehuda Levy
Exercise Monday 11:30 - 12:30 פישבך 505 | Ron Dorfman
Weekly Hours

3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours

Responsible(s)

Yehuda Levy

Notes
  • מתרגל ובודק תרגילים: רון דורפמן

Registration Groups
11
Lecture Monday 10:30 - 12:30 בנ.מאייר 354 | Yehuda Levy
Exercise Monday 12:30 - 13:30 בנ.מאייר 354 | Ron Dorfman
Weekly Hours

3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours

Responsible(s)

Yehuda Levy

Notes
  • מתרגל ובודק תרגילים: רון דורפמן

Exams
Session A: 04-07-2022 13:00 - 16:00
  • אולמן 802.
Session B: 03-10-2022 09:00 - 12:00
  • אולמן 500. 505.

Registration Groups
11
Lecture Thursday 08:30 - 10:30 בנ.מאייר 354 | Yehuda Levy
Exercise Thursday 10:30 - 11:30 בנ.מאייר 354 | Ron Dorfman